HUT: Hybrid UNet Transformer for brain lesion and tumour segmentation

• Main Authors: Soh, Wei Kwek, Yuen, Hing Yee, Rajapakse, Jagath Chandana
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Computer science and engineering; Brain Tumour; Brain Lesions
• Online Access: https://hdl.handle.net/10356/173044
• Institution: Nanyang Technological University

A supervised deep learning network like the UNet has performed well in segmenting brain anomalies such as lesions and tumours. However, such methods were proposed to perform on single-modality or multi-modality images. We use the Hybrid UNet Transformer (HUT) to improve performance in single-modalit...